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Your journey through this book is divided into three parts. Part 1 starts you off in Chapter 2 with a focused coverage of investment management firm level strategy in the AI era. Chapters 3 through 8 focus on the horizontal competency areas of design, data, modeling, evaluation, deployment, and performance. Each of those chapters introduces the necessary capability areas and organizational structure to transform your firm to an AI-centric firm. Chapter 9 launches Part 2. Part 2 is function focused and from Chapters 10 through 17 covers customer experience science, marketing science, institutional investor science, investment science, supply chain science, and corporate social responsibility science. The addition of the word “science” to the traditional corporate organizations (for example, marketing or sales) is an acknowledgment that we are transforming our firms and business models in such a way that data science becomes the operational structure of the firm. Part 3 has three chapters: Chapter 18 is about AI project management, Chapter 19 covers governance and ethics issues, and Chapter 20 is the conclusion.